IN33D:
Toward a Career in Data Science: Pathways and Perspectives II Posters


Session ID#: 8942

Session Description:
Data scientists are playing an increasingly prominent role in earth and space sciences informatics, and large geosciences projects in general, yet there are many pathways towards this role. This session will present various perspectives on building a career in data science, including: university programs that provide a degree or specialization, with commentary on the career trajectories of their graduates; early-career scientists with perspectives on how they successfully landed a data science position; mid-career practitioners that have moved from either straight domain science or computer science/IT explaining how they made the transition successfully; managers describing the diversity of data science positions they have and how they hire for them; and late-career professionals reflecting on their accumulated experience and the trends that they see.
Primary Convener:  Karen I Stocks, Scripps Institution of Oceanography, La Jolla, CA, United States
Conveners:  Lesley A Wyborn, Australian National University, Canberra, ACT, Australia, Ruth Duerr, Ronin Institute for Independent Scholarship, Westminster, CO, United States and Lynn Yarmey, National Snow and Ice Data Center, Boulder, CO, United States
Chairs:  Karen I Stocks, Scripps Institution of Oceanography, La Jolla, CA, United States, Lesley A Wyborn, Australian National University, Canberra, ACT, Australia, Ruth Duerr, Organization Not Listed, Washington, DC, United States and Lynn Yarmey, National Snow and Ice Data Center, Boulder, CO, United States
OSPA Liaison:  Lynn Yarmey, National Snow and Ice Data Center, Boulder, CO, United States

Cross-Listed:
  • ED - Education
Index Terms:

0815 Informal education [EDUCATION]
1999 General or miscellaneous [INFORMATICS]
6630 Workforce [PUBLIC ISSUES]

Abstracts Submitted to this Session:

Building a Data Science capability for USGS water research and communication (74289)
Emily Kara Read, USGS, Baltimore, MD, United States and Alison Appling, U.S. Geological Survey, State College, PA, United States
Developing the Next Generation of Science Data System Engineers (83367)
John Firor Moses, Christopher D Durachka and Jeanne Behnke, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Careers in Data Science: A Berkeley Perspective (83804)
Kevin Koy, University of California Berkeley, Berkeley, CA, United States
University of Washington’s eScience Institute Promotes New Training and Career Pathways in Data Science (84653)
Micaela S Parker1, Sarah Stone1, Bill Howe2 and Ed Lazowska2, (1)University of Washington Seattle Campus, eScience Institute, Seattle, WA, United States, (2)University of Washington Seattle Campus, Seattle, WA, United States
Creation a Geo Big Data Outreach and Training Collaboratory for Wildfire Community (85959)
Ilkay Altintas1, Jeff Sale1, Jessica Block2, Charles Cowart1 and Daniel Crawl3, (1)University of California San Diego, La Jolla, CA, United States, (2)University of California San Diego, California Institute for Telecommunications and Information Technology, La Jolla, CA, United States, (3)San Diego Supercomputer Center, La Jolla, CA, United States
The Gulf of Mexico Research Initiative Information and Data Cooperative: Multidisciplinary data management from the ground up (80826)
Lauren M Showalter, Harte Research Institute for Gulf of Mexico Studies at TAMU-CC, Corpus Christi, TX, United States and James C Gibeaut, Harte Research Institute for Gulf of Mexico Studies at TAMU-CC, Corpus Christi, United States
The AGU Data Management Maturity Model Initiative (78396)
John J Bates, NCDC/NESDIS/NOAA, Asheville, NC, United States
From Baltic rooms to conference rooms: my jouney with data (66725)
Wendy Anne Kozlowski, Cornell University, Ithaca, NY, United States
From Atmospheric Scientist to Data Scientist (63820)
Shelley L Knuth, University of Colorado-Boulder, Boulder, CO, United States
A Stochastic Sprint in the Vague Direction of Data Science: Perspectives from a Graduate Student and Aspiring Data Scientist.  (63884)
Sean R. Barberie, Geophysical Institute, Juneau, AK, United States
Data Science Careers: A Sampling of Successful Strategies, Pitfalls, and Persistent Challenges (84686)
Karen I Stocks, Scripps Institution of Oceanography, La Jolla, CA, United States, Ruth Duerr, Ronin Institute for Independent Scholarship, Westminster, CO, United States, Lesley A Wyborn, Australian National University, Canberra, ACT, Australia and Lynn Yarmey, National Snow and Ice Data Center, Boulder, CO, United States

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